Application of robust information game decision theory for risk-assessment problem in large scale users

This work suggested a novel method in order to solve uncertain problem with uncertainty on pool market tariff with respect to wind and photovoltaic generations as well as storage units. Aiming this regard, information gap decision theory method is applied for solving the considered problem. This way, 3 major models are considered into account for big industrial consumers including: risk-taker, risk-averse, and risk-neutral models. Efficiency of suggested methods are studied by exertion of proposed method on big consumer risk via various pool yield tariffs. In addition, appraised obtained results prove the efficiency of demand response program for decreasing the over expenditure of big consumer. Therefore, good impacts of demand response program caused decrease in big user expenditure. •Providing energy for the large user through renewable energy sources.•The level of large user risk taking has been investigated using the IGDT method.•The difference between the risk-taker method and the risk-averse method.